Resultados totales (Incluyendo duplicados): 33743
Encontrada(s) 3375 página(s)
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152625
Dataset. 2023

CHARACTERISTICS AND DATA OF RESIDENTIAL FACILITY FOR PEOPLE WITH ALZHEIMER'S DISEASE. 20. BOSWIJK. 2010. [DATASET]

CARACTERÍSTICAS Y DATOS DE EQUIPAMIENTO RESIDENCIAL DESTINADO A PERSONAS CON ENFERMEDAD DE ALZHÉIMER. 20. BOSWIJK. 2010. [DATASET]

  • Valero Flores, Pablo
  • Lozano-Gómez, María
  • Quesada-García, Santiago
El proyecto de investigación ALZARQ (PID2020-115790RB-I00) financiado por el Ministerio de Ciencias e Innovación, tiene como uno de sus objetivos principales determinar, cuantitativamente, cuáles son las variables espaciales y ambientales óptimas para que, alguien afectado por la enfermedad de alzhéimer (EA) durante las primeras fases (leve e intermedia), pueda desarrollar sus Actividades Instrumentales de la Vida Diaria (AIVD) el mayor tiempo posible de forma autónoma y/o con la ayuda del entorno. Otro objetivo es establecer pautas proyectuales y constructivas para diseñar entornos asistidos para los que los enfermos, familiares y cuidadores puedan vivir en su hábitat de forma segura, autónoma y accesible. Para establecer los parámetros arquitectónicos de partida se analizan los espacios y ambientes empleados en diferentes experiencias internacionales (residencias, dementia villages, centros de día, etc.), construidos exprofeso para este grupo poblacional con EA. Este dataset muestra los resultados del análisis realizado al equipamiento residencial: Boswijk, en Vught, Países Bajos; de EGM architects; en 2010. Se presentan varias fichas que muestran información sobre el edificio y los principales espacios domésticos habitados por estos usuarios con objeto de tener una visión amplia de los aspectos más importantes del entorno que inciden en su vida diaria. Así se puede identificar la repetición de determinadas pautas empleadas en su diseño, y a partir de aquí establecer los principales parámetros arquitectónicos que son básicos para la construcción y definición funcional de esos equipamientos residenciales., A. Emplazamiento y ubicación. B. Planimetría. C. Esquema funcional. D. Tablas de datos. E. Fotografías e imágenes. F. Dibujos, perspectivas, modelados y esquemas., V.01

Proyecto: //
DOI: https://idus.us.es/handle//11441/152625
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152625
HANDLE: https://idus.us.es/handle//11441/152625
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152625
PMID: https://idus.us.es/handle//11441/152625
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152625
Ver en: https://idus.us.es/handle//11441/152625
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152625

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/155231
Dataset. 2024

REDEFINING HALLIN AND MANCINI’S MEDIA SYSTEM: CROSS-BORDER INVESTIGATIVE NETWORKS IN EUROPE [DATASET]

  • Romero-Domínguez, Lorena R.
En este trabajo se han analizado un total de 1015 documentos relativos a los resúmenes de las conferencias celebradas por Dataharvest (the European Investigative Journalism Conference) durante el período 2014-2023. Para el análisis se ha utilizado Python con los paquetes pandas, spacy, sklearn, sentences_transformers y matplotlib, además de algunos otros paquetes auxiliares y R con el paquete ggplot2 para las representaciones. Las técnicas empleadas a lo largo del análisis han sido: • Análisis frecuentista de textos, que permite hacer el conteo de aparición en documentos de tamaño variable. Se consideran diferentes términos gramaticalmente relacionados y sinónimos, habiéndose eliminado las stopwords. Se han utilizado distintas matrices de frecuencias: BoW (Bag of Words) con los conteos por palabra sin ninguna transformación, y TF-IDF utilizando una reducción logarítmica de la frecuencia para resaltar palabras que pueden ser menos comunes, pero aun así relevantes. También se han utilizado n-gramas para detectar apariciones adyacentes de términos. • Análisis de asociaciones entre términos: se trata de detectar apariciones conjuntas de términos en documento, sin necesidad de que las palabras aparezcan de forma consecutiva en el texto. Se ha utilizado un índice de coincidencia para ordenar la relevancia de las parejas de términos según sus apariciones en documentos. • Análisis de agrupamiento: se ha utilizado transformers (redes neuronales) aplicadas a vectores de documentos con sBERT. Con los resultados obtenidos se ha realizado un agrupamiento utilizando el método métrico k-means. Este método establece, a partir de un número determinado de centros propuesto por el analista (con el apoyo de método elbow curve), el mismo número de grupos de documentos de forma que se minimiza la distancia cuadrática entre los vectores de documento y cada uno de los centros. Entre todas las posibles opciones, el resultado es el que sitúa esos centros y establece una partición de todos los documentos asociando cada uno de ellos a un centro de forma que se minimiza el error cuadrático medio., Análisis por años (BoW y TF-IDF) Análisis por secciones (BoW y TF-IDF) Clustering Kmeans_frecuencia Cluster 0 Kmeans_frecuencia Cluster 1 Kmeans_frecuencia Cluster 2 Kmeans_frecuencia Cluster 3 Pertenencia Clusters Kmeans N-gramas Frecuencia bigramas Frecuencia trigramas Asociaciones de palabras Frecuencia Total

Proyecto: //
DOI: https://idus.us.es/handle//11441/155231
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/155231
HANDLE: https://idus.us.es/handle//11441/155231
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/155231
PMID: https://idus.us.es/handle//11441/155231
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/155231
Ver en: https://idus.us.es/handle//11441/155231
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/155231

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153394
Dataset. 2024

IMPROVING_PERFORMANCE_FELT-BASED_LIVINGWALL_IRRIGATION [DATASET]

IMPROVING THE PERFORMANCE OF FELT-BASED LIVING WALL SYSTEMS IN TERMS OF IRRIGATION MANAGEMENT [DATASET]

  • Kaltsidi, Maria Pinelopi
  • Fernández Cañero, Rafael
  • Franco Salas, Antonio
  • Pérez Urrestarazu, Luis
Dataset acquired for the study published in the article: “Improving the performance of felt-based living wall systems in terms of irrigation management”. This work aims to improve an existing commercial system (Fytotextile) in order to optimise water retention and vegetation performance in harsh climate conditions. Therefore, three evolutions of the Fytotextile system were tested in terms of water retention capacity, drainage and vegetation performance., Water retention capacity, the mean total volumes and maximum flows of water drained in a day from the 4 types of Fytotextile living walls and performance of the plants, v.1

Proyecto: //
DOI: https://idus.us.es/handle//11441/153394
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153394
HANDLE: https://idus.us.es/handle//11441/153394
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153394
PMID: https://idus.us.es/handle//11441/153394
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153394
Ver en: https://idus.us.es/handle//11441/153394
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153394

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153211
Dataset. 2024

CHARACTERISTICS AND DATA OF RESIDENTIAL FACILITY FOR PEOPLE WITH ALZHEIMER'S DISEASE. 25. KOMPETENZZENTRUM BERATEN WOHNEN PFLEGEN. 2014. [DATASET]

CARACTERÍSTICAS Y DATOS DE EQUIPAMIENTO RESIDENCIAL DESTINADO A PERSONAS CON ENFERMEDAD DE ALZHÉIMER. 25. KOMPETENZZENTRUM BERATEN WOHNEN PFLEGEN. 2014. [DATASET]

  • Valero Flores, Pablo
  • Lozano-Gómez, María
  • Quesada-García, Santiago
El proyecto de investigación ALZARQ (PID2020-115790RB-I00) financiado por el Ministerio de Ciencia e Innovación, tiene como uno de sus objetivos principales determinar, cuantitativamente, cuáles son las variables espaciales y ambientales óptimas para que, alguien afectado por la enfermedad de alzhéimer (EA) durante las primeras fases (leve e intermedia), pueda desarrollar sus Actividades Instrumentales de la Vida Diaria (AIVD) el mayor tiempo posible de forma autónoma y/o con la ayuda del entorno. Otro objetivo es establecer pautas proyectuales y constructivas para diseñar entornos asistidos para los que los enfermos, familiares y cuidadores puedan vivir en su hábitat de forma segura, autónoma y accesible. Para establecer los parámetros arquitectónicos de partida se analizan los espacios y ambientes empleados en diferentes experiencias internacionales (residencias, dementia villages, centros de día, etc.), construidos exprofeso para este grupo poblacional con EA. Este dataset muestra los resultados del análisis realizado al equipamiento residencial: Kompetenzzentrum Beraten Wohnen Pflegen, en Forchheim, Alemania; de Feddersen Architeckten; en 2014. Se presentan varias fichas que muestran información sobre el edificio y los principales espacios domésticos habitados por estos usuarios con objeto de tener una visión amplia de los aspectos más importantes del entorno que inciden en su vida diaria. Así se puede identificar la repetición de determinadas pautas empleadas en su diseño, y a partir de aquí establecer los principales parámetros arquitectónicos que son básicos para la construcción y definición funcional de esos equipamientos residenciales., A. Emplazamiento y ubicación. B. Planimetría. C. Esquema funcional. D. Tablas de datos. E. Fotografías e imágenes. F. Dibujos, perspectivas, modelados y esquemas., V.01

Proyecto: //
DOI: https://idus.us.es/handle//11441/153211
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153211
HANDLE: https://idus.us.es/handle//11441/153211
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153211
PMID: https://idus.us.es/handle//11441/153211
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153211
Ver en: https://idus.us.es/handle//11441/153211
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153211

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154016
Dataset. 2024

EMPRESAS DE SEMBRAMEDIA 2018 [DATASET]

  • Caro González, Francisco Javier
  • Sánchez Torné, Isadora
  • Pérez Suárez, Macarena
Datos extraídos de la web de sembramedia con fecha 20 de febrero de 2018 con el objetivo de analizar las características de los medios digitales de habla hispana, Tipo de organización Area de Cobertura Tipo de Contenido Género Periodístico Técnicas Periodísticas empleadas Verificación de datos factchecking Año de fundación Plataforma tecnológica Miembros o subscriptores Contenido activista Transparencia Origenes de los contenidos Origenes_Fundador Equipo en modalidad fulltime Cantidad de personas abocadas a producir contenido Fuentes de ingresos Tráfico páginas vistas por mes Última fecha de modificación, v.0

Proyecto: //
DOI: https://idus.us.es/handle//11441/154016
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154016
HANDLE: https://idus.us.es/handle//11441/154016
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154016
PMID: https://idus.us.es/handle//11441/154016
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154016
Ver en: https://idus.us.es/handle//11441/154016
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154016

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (I. NETCDF) [DATASET]

  • Beguería, Santiago
  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: netcdf The netcdf archive is composed of 96 zipped files containing the spei dataset from 1901 to 2006 at 1 to 48 months time scales, separated for the East hemisphere (i.e. Europa, Africa, Asia and Australia) and the West hemisphere (the Americas). Each zipped file contains one single netCDF file (.nc), i.e. no header files are necessary because all necessary meta-data are self-contained in the .nc file. Naming convention spei_[tempscale]_[hemisphere].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [hemisphere] indicates the fraction of the World covered and can have values eh (East hemisphere) or wh (West hemisphere). Example: spei_12_eh.zip, The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
HANDLE: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
PMID: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
Ver en: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (RAW BINARY)

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: raw binary. The raw binary archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains three files, one with the data itselt (.img), and two headers (.doc and .hdr). The information contained in the header files is equivalent, and allows direct access to the data using some widely used commercial programs. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html, The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

Proyecto: //
DOI: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
HANDLE: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
PMID: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
Ver en: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (PLAIN TEXT)

  • Beguería, Santiago
  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: The plain text archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains one plain text file (.csv). Data on those files are separated by commas, ′,'. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. Data are stored as plain text separated by commas, ','. Each file contains the following columns: GRAPH_ID (cell identification), X (longitude coordinate), Y (latitude coordinate), mmmaaaa (the monthly SPEI values, e.g. Jan1910)., The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

Proyecto: //
DOI: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
HANDLE: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
PMID: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
Ver en: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/28394
Dataset. 2010

CRESPODYNCOOPNET DATA COLLECTIONS

CRESPODATABASEATLANTICTRADE

  • Crespo Solana, Ana
  • Sánchez-Crespo Camacho, Juan Manuel
  • Maestre Martínez, Roberto
The collected data are stored into a Microsoft Access® database that has been designed to be physically integrated into a GIS system. The main structure of this initial database is built around the main table, named ‘AGENTS’, in which all biographic data related to the individual agents are entered taking into account the various ‘worlds’ each agent belongs to – social, economic etc. An individual study and classification has been carried out for each agent; then an attempt has been made to understand the collectivity as the sum total of all these individuals since all of these are related, as can be observed in the database. In relation to the agents, what is new about this initial database is that the investigation is not limited to agents who are merchants by profession. Instead, any relevant data has been collected related to any agent that takes part in cooperation: representatives, corsairs and pirates, capitalist partners, agents, consignees, etc. All of the latter are agents taking part in cooperation and are part of a global network of trade, smuggling, looting or any other type of cooperation or commercial operation. Format: It is a Database in Access® with 30 tables. It contains several queries about actions, agents, cooperation, fleets and ships. All data have identifiers that relate tables. It has 21 full forms that give information on cooperation among agents while identifying partners. Lists with goods and ships are included. A table named ‘COOPERATIONS’ is also defined, in which all forms of commercial relationships – business, Company, Society, etc. -are represented which take place between agents. This again is new as the study is not limited to a specific type of commercial operation but has been extended to all types of goods transactions in which two or more agents are involved, be it legal or illegal, be the goods slaves or metals. The objective is to identify all types of commercial networks. In fact, as agents we have people, Societies, Companies, Institutions, etc. There is also a table named ‘ACTIONS’ where all activities or actions are entered, such as money lending, job commissioning, etc., that occurred within cooperation and were quoted by the sourced used. This table is related to another, very important one – ‘SHIPS’. Many of the remaining tables in the initial Access® database store typologies - places, professions, etc. Having chosen the previously described tables as primary (Agents, Cooperation, Actions and Ships) allows us to analyze the various commercial, professional and interpersonal relationships between the various agents, laying the emphasis on their geographic location, chronologic moment and degree of kinship; in short, the cooperation networks they built. (e.g. the importance of Nicholas Magens as a merchant, or that of the Roo or the Amsick families, whose range of action could spread from Alicante to Elche in Spain or from Cadiz to Manila via Mexico. A Spanish-English glossary is attached to facilitate the understanding of the terminology on the data set. Publications: Crespo Solana, Ana y Owens, Jack J. B. “Dynamic Complexity of Cooperation-Based Self-Organising Networks in the First Global Age (DynCoopNet)” The Evolution of Cooperation and Trading”, By Ronald Noë, Rüdiger Klein, Julia Boman, Claire Rustat-Flinton, eds., Strasbourg, European Science Foundation, 2008, pp. 23-35. http://www.esf.org/activities/eurocores/programmes/tect.html Alonso García, David & Crespo Solana, Ana (coords.) Self-Organising Networks and Trading Cooperation: GIS tools in the visualization of the Atlantic Economic Expansion (1400-1800), 2011 (forthcoming). Contents License: This data set is made available under the Open Database License http://opendatacommons.org/licenses/dbcl/1.0/. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike., This database contains information on Atlantic trade with data on agents, commercial activities, maritime routes, freights, ships, monopolistic commercial companies, businesses, goods, and, above all, events, actions and relationships of cooperation among trade networks. These data fall within the chronological framework between 1648 and 1778 and a wide geographic expanse with place names and cartographic data from Africa, Europe and America during the First Global Age – 16th-18th centuries. This database has been adapted to a GIS-oriented conceptual model (GIS – Geographic Information System). The right choice of sources for the immense amount of information collected by the database has been crucial. As we were conscious that not all the information from the sources could be gathered, especially from archival sources, only the information that is relevant to this investigation has been selected – here quantity does not necessarily mean quality. Information has been harvested from a great variety of sources, whether bibliographic and archival. The common ground of all this information is that it refers to commercial agents and their activities along the maritime routes that were linked to the European Atlantic System during the above mentioned chronological period. The information contained is on legal trade, commercial monopolies, smuggling, illicit trade, trade undertaken by European commercial companies operating under on behalf of merchant nations such as Holland, France or England, and, above all, information on the shipping carried out within the Spanish commercial system with America or Indies Trade, i.e. registers of the outbound and inbound fleets, passenger lists bound for the Indies, traders’ licences, dictionaries on seafaring and shipping, etc. In order to select the sources to be used, advice was sought from specialists in this field. Also the NACOM bibliographic catalogue was consulted. This catalogue consists of a bibliographical list on merchant communities in the Modern Age and is regularly updated. It has been compiled as part of the project MICINN (2006-HUM-01679) under the Spanish Plan Nacional de Investigación programme. The criterion for the selection of sources was, firstly, that they contain information on relationships between merchant networks and communities, and secondly, that the data contained was either biographical or professional of the agents that were part of those communities or were otherwise related to them. A part of information has been sourced on other databases available on the internet., This data set has been elaborated within the project: Dynamic Complexity of Cooperation-Based Self-Organizing Commercial Networks in the First Global Age (Acrónim: DynCoopNet). Funding by EUROCORES Programme, European Science Foundation TECT call: “The Evolution of Cooperation and Trading”, and by the MICINN (Acciones Complementarias: SEJ2007-29226)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/28394
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/28394
HANDLE: http://hdl.handle.net/10261/28394
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/28394
PMID: http://hdl.handle.net/10261/28394
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/28394
Ver en: http://hdl.handle.net/10261/28394
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/28394

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/38910
Dataset. 2008

CONFORMATIONAL ENERGY CALCULATIONS ON THE DIPEPTIDE FORMYL-L-ALANYL-AMIDE, USING THE QUANTUM CHEMICAL RHF AND MP2 WITH A RANGE OF POPLE BASIS SETS

  • Echenique, Pablo
  • Alonso, José Luis
This corresponds to a series of approximately 40,000 quantum chemical calculations on one single system, the model dipeptide HCO-L-Ala-NH2, with 16 atoms and no charge. The conformational space of this molecule is scanned by defining a regular 12x12 grid from -165º to 165º in 30º steps in the 2D space spanned by its Ramachandran angles phi and psi. The energy at each of these 144-points set is calculated using using the methods RHF and MP2, and a large number of Pople basis sets ranging from 3-21G to 6-311++G(2df,2pd). These methods are combined using the same one for the geometry optimization and the energy calculation (homolevel) or different ones (heterolevel). The dataset contains 274 grids, each one corresponding to a different homo- or heterolevel. This consists of a set of human-readable ASCII files in the output format of Gaussian 03, in folders with descriptive names and compressed using tar and gzip (i.e., you need the GNU applications tar and gzip to uncompress them). Created with Gaussian 03, Revision C.02. Readable with any text editor. This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/, This dataset is the basis of an exhaustive published study (see https://digital.csic.es/handle/10261/35334) of more than 250 ab initio potential energy surfaces (PESs) of the model dipeptide HCO-L-Ala-NH2. The model chemistries (MCs) investigated are constructed as homo- and heterolevels involving possibly different RHF and MP2 calculations for the geometry and the energy. The basis sets used belong to a sample of 39 representants from Pople's split-valence families, ranging from the small 3-21G to the large 6-311++G(2df,2pd). The reference PES to which the rest are compared is the MP2/6-311++G(2df,2pd) homolevel, which, as far as we are aware, wss the most accurate PES in the literature at the moment of its publication. The great number of MCs evaluated has allowed us to significantly explore this space and show that the correlation between accuracy and computational cost of the methods is imperfect, thus justifying a systematic search for the combination of features in a MC that is optimal to deal with peptides. Regarding the particular MCs studied, the most important conclusion is that the potentially very cost-saving heterolevel approximation is a very efficient one to describe the whole PES of HCO-L-Ala-NH2. Finally, we show that, although RHF may be used to calculate the geometry if a MP2 single-point energy calculation follows, pure RHF//RHF homolevels are not recommendable for this problem., This work has been supported by the research projects E24/3 and PM048 (Aragón Government), MEC (Spain) FIS2006-12781-C02-01 and MCyT (Spain) FIS2004-05073-C04-01. P. Echenique was supported by a BIFI research contract., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/38910
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/38910
HANDLE: http://hdl.handle.net/10261/38910
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/38910
PMID: http://hdl.handle.net/10261/38910
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/38910
Ver en: http://hdl.handle.net/10261/38910
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/38910

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